Finance Data Analyst: Insights, Forecasting & Power BI

Elementis Global; Porto; Presencial; EUR 42 000 - 62 000; Tempo integral

Resumo da oferta

Elementis Global is seeking a Data Analyst - Finance to translate complex datasets into actionable insights across the organisation. Based at the Porto Hub, you will collaborate with business stakeholders to interpret data, build Power BI dashboards, and support planning, forecasting and reporting cycles.

The role requires 3+ years in finance analytics and strong Excel/Power BI skills. You will help optimise processes, promote data governance, and provide senior management with clear,

Qualificações

• Bachelor’s degree in Accounting, Finance or Business Administration (required).
• 3+ years of work experience in an analytical role within Finance, preferably in an international manufacturing/industrial environment.
• Strong proficiency in Power BI and MS Excel; Python/SQL knowledge is advantageous.

Responsabilidades

• Partner with business stakeholders to interpret analytical results and translate data into insights.
• Produce monthly management information and analyze financial results with KPIs.
• Support planning, forecasting, budgeting and capex submissions.
• Review budgets, monitor progress and highlight variances for leaders.

Conhecimentos

Analytical thinking

Stakeholder management

Attention to detail

Data storytelling

Formação académica

Bachelor’s degree in Accounting, Finance or Business Administration

Country-specific accounting qualification (or in-progress)

Ferramentas

Power BI

Excel (Pivot Tables)

Python

SQL

Descrição da oferta de emprego

Elementis Global is seeking a Data Analyst - Finance to translate complex datasets into actionable insights across the organisation. Based at the Porto Hub, you will collaborate with business stakeholders to interpret data, build Power BI dashboards, and support planning, forecasting and reporting cycles.

The role requires 3+ years in finance analytics and strong Excel/Power BI skills. You will help optimise processes, promote data governance, and provide senior management with clear,